A research team led by Prof. WANG Shuqiang from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences introduced a Prior-Guided Adversarial Learning with Hypergraph (PALH) model for predicting abnormal connections in Alzheimer's disease.
A research team led by Prof. ZHANG Shihua from the Academy of Mathematics and Systems Science has proposed a new computational tool, STAGATE, to decipher tissue substructures from spatial resolved transcriptomics. The model uses artificial intelligence technology to integrate spatial location information and gene expression profile of spatial spots. In this algorithm, a graph attention autoencoder is introduced, with a graph attention mechanism in the middle hidden layer, which can learn the heterogeneous similarities between neighboring spots adaptively.
Chinese researchers have discovered a promising mass-gap black hole using radial velocity and astrometry methods. The study was conducted by a team led by Dr. WANG Song from the National Astronomical Observatories of the Chinese Academy of Sciences.
A research group from the Hefei Institutes of Physical Science recently developed a neural network-based absorbance recovery method to improve the accuracy of single path tunable diode laser absorption spectroscopy (TDLAS) measurement. Testing results showed an error of only 0.9%, compared to thermocouple readings. Scientists said that it can be easily incorporated into tomographic absorption spectroscopy.
A group led by Prof. SUN Jian from the Dalian Institute of Chemical Physics of the Chinese Academy of Sciences developed a facile strategy to establish Mo carbide catalysts for efficient CO2 conversion, bypassing the complicated carburization process of traditional methods.
A research team led by Prof. TAN Weihong and Prof. WU Qin from the Hangzhou Institute of Medicine of the Chinese Academy of Sciences has identified protein arginine methyltransferases (PRMTs), crucial regulators of RNA splicing and chromatin stability, as a new therapeutic target for overcoming paclitaxel resistance in triple-negative breast cancer (TNBC).
Recently, a collaborative research team led by Prof. WANG Hui and Prof. QIAN Junchao from Hefei Institutes of Physical Science of the Chinese Academy of Sciences designed a catalytically active, photoresponsive Fe-doped carbon nanoparticles (FDCN) for second near infrared (NIR-II) photothermal-enhanced chemodynamic therapy.
A research team led by Prof. ZHANG Xuan from the Shanghai Institute of Materia Medica, and Prof. HE Yonghan from the Kunming Institute of Zoology, introduced a novel class of protein degraders known as Liver-targeting chimeras (LIVTACs).
Recently, the research team led by Prof. ZHANG Guangtao of the Jiaozhou Bay Station at the Institute of Oceanology of the Chinese Academy of Sciences (IOCAS), examined the comprehensive impacts of BPA on the survival rates, growth patterns, and reproductive capabilities of the globally ubiquitous marine appendicularian, Oikopleura dioica, at environmentally relevant concentrations.
Recently, researchers led by Prof. WANG Kelin from the Institute of Subtropical Agriculture of the Chinese Academy of Sciences quantified the relative importance of the spatial variation and controlling factors of runoff and sediment yield (SY) in different karst watersheds in southwest China.
A research team led by Prof. LIU Lizhuang from the Shanghai Advanced Research Institute of the Chinese Academy of Sciences proposed a deep learning model named TransLNP based on self-attention mechanisms, which maps the three-dimensional microstructure and biochemical properties of mRNA-LNPs to enable high-precision automated screening of LNPs.
Researchers from USTC proposed a novel design methodology for Gaussian random number generators tailored for SerDes simulation systems, making a progress in hardware GRN generation algorithms.
A research group led by Prof. CHEN Xueyuan from Fujian Institute of Research on the Structure of Matter developed a novel NIR-CP light-responsive hybrid CuInSe2@ZnS quantum dots (CISe@ZnS QDs) hydrogel (QDs@L/D-Gel) for achieving distinctly enhanced therapeutic efficacy in vitro and in vivo upon exposure to 808-nm CP light.
A team of researchers led by Prof. LIU Chi, Prof. SUN Dongming and Prof. CHENG Huiming from the Institute of Metal Research (IMR) proposed a novel hot-carrier generation mechanism named as the “stimulated emission of heated carriers (SEHC)” and developed an innovative hot-emitter transistor (HOET), achieving an ultralow sub-threshold swing less than 1 mV/dec and a peak-to-valley current ratio exceeding 100, provide a prototype of low power and multifunctional device for the post-Moore era .
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